Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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Ajouter au panier25 cm. XIII, 99 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence. Volume 759. Sprache: Englisch.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 53,72
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Vendeur : Best Price, Torrance, CA, Etats-Unis
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Ajouter au panierEtat : New. SUPER FAST SHIPPING.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 59,82
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 57,73
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Ajouter au panierEtat : New. In.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 59,71
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Ajouter au panierEtat : New. In.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Ajouter au panierPF. Etat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 59,70
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New. pp. 116.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 65,52
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 75,73
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Ajouter au panierPaperback. Etat : Brand New. reprint edition. 116 pages. 9.25x6.10x0.43 inches. In Stock.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 77,67
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Ajouter au panierHardcover. Etat : Brand New. 99 pages. 9.25x6.25x0.50 inches. In Stock.
Edité par Springer International Publishing, Springer International Publishing Feb 2019, 2019
ISBN 10 : 3030103331 ISBN 13 : 9783030103330
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 53,49
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 116 pp. Englisch.
Edité par Springer International Publishing, Springer International Publishing, 2019
ISBN 10 : 3030103331 ISBN 13 : 9783030103330
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,49
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.
Edité par Springer, Berlin, Springer International Publishing, Springer, 2018
ISBN 10 : 3319732129 ISBN 13 : 9783319732121
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 57,68
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.
Edité par Springer International Publishing, 2019
ISBN 10 : 3030103331 ISBN 13 : 9783030103330
Langue: anglais
Vendeur : Buchpark, Trebbin, Allemagne
EUR 39,79
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Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
Edité par Springer International Publishing Feb 2019, 2019
ISBN 10 : 3030103331 ISBN 13 : 9783030103330
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 53,49
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics. 116 pp. Englisch.
Edité par Berlin Springer International Publishing Springer Mrz 2018, 2018
ISBN 10 : 3319732129 ISBN 13 : 9783319732121
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 53,49
Quantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics. 99 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 76,85
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Ajouter au panierEtat : New. Print on Demand.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 77,46
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Ajouter au panierEtat : New. Print on Demand pp. 116.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 77,90
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Ajouter au panierEtat : New. PRINT ON DEMAND.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 78,55
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 116.
Edité par Springer International Publishing, 2019
ISBN 10 : 3030103331 ISBN 13 : 9783030103330
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 48,37
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an improved design for service provisioning and allocation models in a hybrid cloud environmentProposes approaches for addressing scheduling and performance issues in big data analytics Showcases new algorithms for hybrid cl.
Edité par Springer International Publishing, 2018
ISBN 10 : 3319732129 ISBN 13 : 9783319732121
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 48,74
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Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an improved design for service provisioning and allocation models in a hybrid cloud environmentProposes approaches for addressing scheduling and performance issues in big data analytics Showcases new algorithms for hybrid cl.